growth-engine
Skill1 starsChanged 6 months agoMITView on GitHub
Autonomous experimentation framework that goes beyond basic A/B testing. Use when: run experiment on [channel], check for conflicting experiments, score this test, what’s in the playbook for [channel]?, calculate sample size for [metric] with [mde], switch to bandit mode.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- LazyIsEfficient/agentic-ostheir own version, first seen Oct 22, 2026
- agentik-os/claude-code-skillstheir own version, first seen Sep 17, 2026
- ericosiu/ai-marketing-skillstheir own version, first seen Sep 2, 2026
- KameronKales/planfi-skillstheir own version, first seen Jul 3, 2026
- admdanielpaulino/claude-codestheir own version, first seen Apr 9, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- ericosiu/ai-marketing-skills★ 3.8ksame name
- LazyIsEfficient/agentic-os★ 17same name
- admdanielpaulino/claude-codes★ 1same name
- agentik-os/claude-code-skills★ 1same name
- KameronKales/planfi-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository12 other files it gives its agents.
- content-opsSkill
- conversion-opsSkill
- creative-opsSkill
- finance-opsSkill
- outbound-engineSkill
- podcast-opsSkill
- revenue-intelligenceSkill
- sales-pipelineSkill
- sales-playbookSkill
- seo-opsSkill
- team-opsSkill
- voice-guardSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
Run experiment on [channel]
- Distinctive: line 12
Check for conflicting experiments
“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Growth Engine
Autonomous experimentation framework that goes beyond basic A/B testing. Combines Bayesian inference, multi-armed bandits, CUPED variance reduction, and experiment dependency graphs to run statistically rigorous growth experiments across all marketing channels.
When to Use
- Run experiment on [channel]
- Check for conflicting experiments
- Score this test
- What's in the playbook for [channel]?
- Calculate sample size for [metric] with [MDE]
- Switch to bandit mode
Workflow
- Define Hypothesis -- state expected lift, primary metric, guardrail metrics
- Check Dependency Graph -- verify no conflicting experiments are running
- Calculate Sample Size -- CUPED-adjusted MDE with channel-specific minimums
- Select Testing Mode -- Bayesian (fixed horizon), Bandit (continuous), or Sequential (early stopping)
- Run Experiment -- log daily variant metrics
- Score Results -- posterior distributions + credible intervals (Bayesian) or confidence intervals (frequentist)
- Decision Gate -- requires >90% posterior probability AND >10% relative lift to declare winner
- Archive to Playbook -- winning variant, context, screenshots, follow-up ideas
Reference
Full methodology lives in README.md in this folder: configuration, scoring formulas, output formats, integration points, and worked examples. Read it before producing scored output.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.